How to get an example to use resnet50 with wasm?
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https://www.youtube.com/playlist?list=PL_4zDggB-DBpynCEnC9hV-1euZrP3xDRK
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Now conv2d is fully supported, including residual block fusion.
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First of all, Ansor is no good for int8, since it cannot use fast int8 hardware
(VNNI, tensorcore) at all.
* How are you quantizing the model?
* What backends are you interested in? CPU or GPU?
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Hi,
I'm trying to use TVM's stack to deploy INT8-quantized Transformer-based models.
I tried Relay + Ansor(AutoScheduler) for a Transformer (# layers = 1) and the
results weren't so neat.
|Time (ms)|Original|Quantized|
| --- | --- | --- |
|PyTorch|20|--|
|TVM (Relay, optimized)|130|120|
Hi, everyone.
I'm waiting for the videos from TVMConf '21.
I see '20's was uploaded only a few days after the conference.
Could you share any information regarding the possible dates for '21's?
I'd be thrilled to watch them.
Thanks,
Jason
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CC @Hzfengsy if you want to take a look :-)
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```python
def estimate_region_lower_bound(region, var_dom, predicate):
"""Analyze the region with affine map, given the domain of variables and
their predicate
Parameters
--
region : List[Range]
The region to be analyzed.
var_dom : Dict[Var, Range]
T
